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_includes/demo.html

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@@ -73,7 +73,7 @@ <h6 style="margin-bottom: 0px; margin-top: 18px">Input a tensor algebra expressi
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style="padding-left: 0px; vertical-align: middle">
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<div style="display:inline"><big>Format&nbsp;</big></div>
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</th>
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<th class="mdl-data-table__cell--non-numeric" style="padding-left: 7px; vertical-align: middle">
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<th class="mdl-data-table__cell--non-numeric" style="padding-left: 7px; vertical-align: middle; text-align: left">
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<div style="display:inline"><big>Level Formats&nbsp;</big></div>
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<div style="display:inline; margin-right:10px">(reorder dimensions by dragging the drop-down menus)</div>
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<div style="display:inline; vertical-align: middle">
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<div id="helpMenu" class="help-menu mdl-menu mdl-js-menu mdl-js-ripple-effect" for="btnHelp">
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<p>
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<strong>Dense</strong> levels store the size of the dimension $(N)$ and encode the coordinates in the interval $[0, N)$.
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<img src="images/dense-arrays.jpg" class="centered-img" style="height: 25px; padding-top:10px">
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<img src="images/dense-arrays.jpg" class="centered-img" style="height: 29px; padding-top:10px">
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</p>
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<p>
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<strong>Sparse</strong> levels store coordinates in a segment of the $\texttt{crd}$ array, with segment bounds stored in the $\texttt{pos}$ array.
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<img src="images/compressed-arrays.jpg" class="centered-img" style="height: 50px; padding-top:10px">
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</p>
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<p>
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<strong>Singleton</strong> levels store individual coordinates (with no siblings) in the $\texttt{crd}$ array.
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<img src="images/singleton-arrays.jpg" class="centered-img" style="height: 25px; padding-top:10px">
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<img src="images/singleton-arrays.jpg" class="centered-img" style="height: 30px; padding-top:10px">
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</p>
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<p>
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A level is <strong>unique (U)</strong> if no collection of coordinates that share the same ancestors contains duplicates, and it is <strong>not unique (&not;U)</strong> otherwise.

_includes/publist.html

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</summary>
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<blockquote>
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{% if pub.paper_link %}
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<a href="{{ pub.paper_link }}" class="button is-primary">Download {% if pub.is_thesis == true %}Thesis{% else %}Paper{% endif %}</a>
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<a href="{{ pub.paper_link }}" class="button is-primary" style="height: 24px">Download {% if pub.is_thesis == true %}Thesis{% else %}Paper{% endif %}</a>
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{% endif %}
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{% if pub.slide_link %}
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<a href="{{ pub.slide_link }}" class="button is-primary">Download Slides</a>
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<a href="{{ pub.slide_link }}" class="button is-primary" style="height: 24px">Download Slides</a>
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{% endif %}
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{% if pub.abstract %}
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<p class="title is-5 pt-5">Abstract</p>

index.md

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@@ -37,6 +37,7 @@ We also [welcome pull requests](https://github.com/tensor-compiler/taco/pulls) i
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# Acknowledgements
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TACO is developed by members of [Prof. Fredrik Kjolstad](http://fredrikbk.com/)'s research group at Stanford University, members of the [COMMIT research group](http://groups.csail.mit.edu/commit/) at MIT CSAIL, and [other contributors](https://github.com/tensor-compiler/taco/graphs/contributors).
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TACO is developed and maintained by members of [Prof. Fredrik Kjolstad](http://fredrikbk.com/)'s research group at Stanford University, members of the [COMMIT research group](http://groups.csail.mit.edu/commit/) at MIT CSAIL, and [other contributors](https://github.com/tensor-compiler/taco/graphs/contributors).
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TACO is built on research supported by the National Science Foundation; the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research; the Direction Générale de l'Armement; the Toyota Research Institute; the Application Driving Architectures (ADA) Research Center, a JUMP Center co-sponsored by SRC and DARPA; the Defense Advanced Research Projects Agency; the Google Research Scholar Program; and the Stanford Data Analytics for What’s Next (DAWN) Affiliate Program.
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Any opinions, findings, and conclusions or recommendations expressed here are those of the developers of TACO and do not necessarily reflect the views of the aforementioned funding agencies.

javascripts/demo.js

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listTensorsBody += "</ul></div></td>";
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listTensorsBody += "<td class=\"mdl-data-table__cell--non-numeric\" ";
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listTensorsBody += "style=\"padding: 0px; overflow: auto; vertical-align: middle\">";
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listTensorsBody += "style=\"padding: 0px; vertical-align: middle\">";
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listTensorsBody += "<ul id=\"";
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listTensorsBody += listId;
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listTensorsBody += "\" class=\"ui-state-default sortable\" style=\"margin-top: 0px; margin-left: 0px\">";

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